Implement the AI mentor MVP

[milesha]

Is your feature request related to a problem? Please describe.
I want to create an MVP for an AI mentor to support software engineering education through structured reflections.

Describe the solution you'd like
I envision an AI mentor MVP consisting of:

• A backend powered by Java Spring Boot that handles data persistence and API communication.
• A simple connection to OpenAI's models using Langchain in Python, enabling robust prompting and response generation.
• A PostgreSQL database to store sessions and messages.
• A front-end interface built with Angular using Spartan UI, where users can chat with the AI mentor.

Additional context
The MVP will involve three key technologies:

• Langchain in Python: To create a seamless connection to OpenAI's models for context-aware conversation management and prompting.
  • MVP level simple LangChain usage with a single prompt
• Java Spring Boot with PostgreSQL: To manage user sessions, store structured reflections, and handle backend logic.
  • MVP level Message and Session Entities in the Database, which would reflect a simple chat logic
• Angular Frontend with Spartan UI: To create a chat interface that is easy to use and provides an interactive experience for the user.
  • MVP level The user can be able to:
    • see the list of all past chats
    • create a new chat
    • see chat history from a chosen chat
    • send messages
    • receive response from the AI bot